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ExternalSoftware Engineering
Meta Engineering

F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale

Facebook Feature Framework (F3) is Meta’s framework for authoring, compiling, and serving the machine learning features underlying ads ranking models, where a single request can require more than 20,000 features. We first presented F3 at AI @ Scale 2020.  F3 reduced execution computational costs by compiling all features into a single merged graph, but that [...] Read More... The post F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale appeared first on Engineering at Meta.

ML ApplicationsProduction Engineering
Meta EngineeringRead original
ExternalSoftware Engineering
DZone

The "Just Read the Code" Myth Is Killing Your AI Workflow

Every Abstraction Leaks. Generative AI Is No Exception. Joel Spolsky gave us the Law of Leaky Abstractions years ago, and it lands hard on the newest layer in software development: generative AI. When you prompt a model to produce code, it builds an abstraction over the implementation. You get working functionality without touching the underlying logic. Great, until the day it breaks. So what do you do when the abstraction leaks?

DZoneRead original
ExternalCloud
Google Cloud Blog

Leading in the agentic era: How to put people first as you adopt AI agents

Over the past few years, our Google Cloud Consulting team has partnered with many companies to introduce AI into their daily operations. In that time, we’ve seen the focus shift from generative AI that answers questions to agentic systems that fully carry out the work. These agents can create multi-step plans and manage a project from start to finish. While budget, compute, and tooling can help launch an agent program, enterprise adoption takes intentional culture work. People need to feel empow

Google Cloud Consulting
Google Cloud BlogRead original
External
The Hacker News

Binance Reveals How Fake Job Interviews and AI Tool Abuse Led to $6.43 Billion Theft

Binance on Tuesday said the record-setting theft of $6.43 billion in assets from the world's largest cryptocurrency exchange was the culmination of a "sophisticated, multi-stage campaign" that involved the use of a tampered Homebrew installation and recruitment-themed social engineering attack targeting two of its engineers. "It was not a single isolated breach or a simple phishing incident,"

The Hacker NewsRead original
ExternalAI
AWS Machine Learning Blog

Bring structured and unstructured data together with Amazon Quick

Amazon Quick brings structured and unstructured data together in one experience. In this post, you connect Amazon S3 as a knowledge base, enrich a dataset, build a Space, and create a custom chat agent that answers business questions across both data types through a single conversational interface.

Amazon Quick SuiteIntermediate (200)Technical How-to
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

ServiceNow on-behalf-of token exchange with Bedrock AgentCore Gateway

Learn how to configure Amazon Bedrock AgentCore Gateway for an on-behalf-of (OBO) token exchange with Microsoft Entra ID, so an AI agent can call the ServiceNow REST API while preserving the calling user's identity. AgentCore Gateway performs the exchange natively, with no interceptor Lambda or custom code.

Advanced (300)Amazon Bedrock AgentCoreTechnical How-to
AWS Machine Learning BlogRead original

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